Improving Referral Tracking Processes Juliana Macri, Franklin - - PowerPoint PPT Presentation

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Improving Referral Tracking Processes Juliana Macri, Franklin - - PowerPoint PPT Presentation

Improving Referral Tracking Processes Juliana Macri, Franklin Primary Health Center, Mobile Alabama Introduction Referral tracking is an important element of patient-centered primary care It facilitates care coordination and continuity


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SLIDE 1

Improving Referral Tracking Processes

Juliana Macri, Franklin Primary Health Center, Mobile Alabama

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SLIDE 2

Introduction

  • Referral tracking is an important element of patient-centered

primary care

  • It facilitates care coordination and continuity of care
  • Referral tracking is required by key accrediting organizations
  • For NCQA PCMH: “5B - Referral tracking and Follow-Up” is a MUST

PASS element

  • For Joint Commission: requirements to support continuity,

coordinate care, and maintain complete records

  • Franklin Primary Health Center struggles with referral tracking:
  • The unannounced Joint Commission identified a need for

“efficient and effective tracking of labs, referrals, and diagnostic procedures”

  • Multiple issues contribute to difficulty with tracking (EHR changes,

volume, staffing, processes, challenging population, etc)

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Background--The Process

  • 1. PCP Initiates Referral
  • “Orders” referral with form
  • Inputs pertinent data into EHR
  • Tasks scheduling to nurse
  • 2. Nurse Arranges Referral
  • Schedules appointment
  • Notifies patient of date, time,

location, special instructions

  • Faxes referral form and relevant

records to specialist, confirms receipt

Outside

  • f

Franklin:

  • Patient

keeps appt

  • Appt

affordable / accessible for patient

  • Specialist

willing/ able to complete request

  • Consult

note sent back to PCP

  • Etc.
  • 5. PCP Receives Consult Note
  • Reviews consult note
  • Requests necessary follow-ups
  • Initials report
  • 6. Consult note filed
  • Medical records files report in patient’s

record Based off “Procedure for Medical Referrals”, Franklin Policies and Procedures Manual, revised 2/11

  • 3. Nurse Documents Referral
  • Check “referral made” in the EHR

checkout template

  • Place referrals in binder or enter in

log file

  • 4. Nurse Checks on Referral
  • Reviews referral log monthly
  • Determines if patient kept appointment
  • If no: notify PCP for further direction
  • If yes: request records from specialist
  • If can’t afford: refer to social worker
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Methodology

  • Quantitative
  • Review 100 records of MLK Adult Medicine patients whose PCPs

had requested referrals January 1 - February 28 of 2013

  • Document whether and when the referral made it through each

stage of the current tracking system. When not followed through to completion or unnecessary delays occurred, identify gaps

  • Qualitative
  • Map recommended referral tracking process using Franklin’s

Policies and Procedures Manual

  • Observe current processes used in the clinic and discuss process

with clinic staff

  • Conduct literature review of best practices in referral tracking
  • Make recommendations to Franklin for improved referral

tracking process

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SLIDE 5

Results: Drop-Out Analysis

0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100% N/A No Uncertain Yes

* *

* EHR analysis needed to confirm

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Results: Time Lapses

  • 1. PCP Initiates Referral
  • 2. Nurse Arranges Referral

Appointment

  • 5. PCP Receives Consult Note
  • 6. Consult note filed

NOTE: Times ONLY include referrals that make it to a particular stage. High-drop out rates are noted

  • 3. Nurse Documents Referral
  • 4. Nurse Checks on Referral

Median: 0 days Mean: 2.9 days Median: 6 days Mean: 9.0 days Median: 12 days Mean: 22.0 days Range: -106 to 114 days N=67 Median: 8 days Mean: 12.0 days Range: 0 to 38 days N= 35 Range: 0 to 52 days N=34 Range: 0 to 53 days n=71 Range: -11 to 113 days n=64 Median: 3 days Mean: 12.2 days

Best Case Scenario:

* 5 days from start to finish

Worst Case Scenario:

  • 84 days from start to finish

Average (Median) Case Scenario:

* 23.5 days from start to finish

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SLIDE 7

Results: Qualitative

  • Gaps in process exist at all following stages:
  • 1. PCP Initiates Referral: Urgency of referral rarely specified
  • 2. Nurse Arranges Referral: Necessary documents often not included

in faxed referral form; appointment not made in consultation with patient (timing, cost)

  • 3. Nurse Documents Referral: Inconsistency in how nurses document

referral in online template and binder

  • 4. Nurse Checks on Referral: Done when free time, without

consideration for timing or urgency of appointment; no shows inconsistently followed up on; outstanding referrals lost in the shuffle

  • 5. PCP Receives Consult Note: Missing reports not followed up on
  • 6. Consult note filed: Occasional reports go missing
  • No system for pulling up all referrals made by a

provider in a time period  uncertainty whether all referrals even enter the tracking process in the first place!!

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Discussion

  • Causes for concern
  • While many referrals are adequately followed up on, there is

no consistency or process that guarantees timely completion

  • No-show rates for appointments are very high (48.8%), and

the cause(s) of this must be better understood

  • Staff frustrated by cumbersome process
  • It is very easy for patients to fall through the cracks at any

stage in the process, and to have no one notice

  • Causes for optimism
  • The NextGen system may allow for improved processes
  • Systems that assign tasks and track progress electronically

are successfully used in other aspects of clinic workflow

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Recommendations

  • Develop an improved template for referral ordering and tracking

in the NextGen system

  • Run regular (weekly or monthly) reports of recent referrals and

referral appointments that require follow-up

  • Assign referral follow-up tasks to employees with clear

expectations for how much, when, and by whom they need to be completed

  • Keep track of referral stages and completion in a central,

electronically accessible location

  • Regularly assess and analyze referral tracking data for

essential patterns (time lapses, drop-out, no-show rates, specialist accessibility and consistency, etc)

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Conclusion

  • An efficient and effective referral tracking system is essential to

creating a patient-centered care environment

  • The current system does not consistently guarantee timely

follow-up

  • There are many opportunities to streamline the current system

using electronic system

  • Acknowledgements
  • Thank you to Ms. Mitchell, Ms. McAuthor, Ms. Singleton, Ms. Perry

and the staff of MLK Adult Medicine for their assistance with this project.

  • Thank you to GE-NMF Primary Care Leadership Program for

sponsoring this program.